25 datasets found

Groups: Object Recognition Formats: JSON

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  • Columbia Object Image Library (COIL100)

    The COIL100 dataset is a benchmark dataset for object recognition and image classification.

  • PASCAL Visual Object Classes Challenge 2007 (VOC2007) results

    The VOC2007 dataset is a benchmark dataset for object recognition and image classification.

  • Facades dataset

    Spatial pattern templates for recognition of objects with regular structure.

  • Sprites

    The Sprites dataset has 672 synthetically rendered animated characters (sprites). The dataset is split into a training set with 500, a validation set with 72, and a test set...

  • Aircraft

    Fine-Grained Visual Classification (FGVC) is an important computer vision prob-lem that involves small diversity within the different classes, and often requires expert...

  • Open Images Dataset

    The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images...

  • Stanford Online Products

    The Stanford Online Products (SOP) dataset contains 120,053 product images covering 22,634 categories. The training set is composed of 59,551 images of the first 11,318...

  • Selective Search for Object Recognition

    Selective search is a method for object detection.

  • Image dataset

    The dataset used in the paper is a set of images, and the authors used it to train and test their ladder network model.

  • CIFAR-100 Dataset

    The CIFAR-100 dataset consists of 100 classes of 32 × 32 RGB images with 60,000 training and 10,000 testing examples.

  • Caltech-UCSD Birds-200-2011 Dataset

    The Caltech-UCSD Birds-200-2011 Dataset consists of 11,169 bird images from 200 categories and each category has 60 images averagely.

  • CIFAR-10, CIFAR-100

    CIFAR-10 and CIFAR-100 are standard vision datasets with 50,000 training images across 10 and 100 classes, respectively.

  • Places dataset

    The Places dataset is a large-scale dataset for scene recognition, containing 1 million images from 365 categories.

  • Stanford Cars dataset

    The Stanford Cars dataset is a dataset of images of cars, with 196 categories and approximately 16,000 images. The authors created a synthetic dataset by adding occlusions of...

  • SUN397

    The dataset used in the paper is a collection of images of objects with varying viewpoints, used for training and testing the proposed RRB framework.

  • AWA2

    AWA2 is an animal dataset containing 37,322 images from 50 classes, with 85 attributes provided by experts to describe the semantic feature of each class.

  • CIFAR10-DVS

    The dataset used in the paper is CIFAR10-DVS, a dataset of 10,000 event streams of 128x128 images.

  • MiniImagenet

    The MiniImagenet dataset is a benchmark for few-shot learning, consisting of 60,000 images from 21 classes, each with 300 images.

  • PASCAL VOC 2007

    Multi-label image recognition is a practical and challenging task compared to single-label image classification.

  • Caltech-UCSD Birds 200

    The Caltech-256 object category dataset is used for the feature extraction step, and the Omniglot dataset is used for the evaluation.